Oscar Beijbom
Oscar Beijbom is a computer vision and machine-learning researcher whose work applies deep learning to coral monitoring and autonomous driving. He earned an engineering-physics M.S. at Lund and a computer-vision Ph.D. at UCSD, then developed coral-image systems at Berkeley and coauthored nuScenes and nuPlan. He directed machine-learning work at Motional and co-founded Nyckel, an API company for custom machine learning. As of October 2026, he is a Principal Engineer at Zoox, working on perception, planning and foundational modeling for autonomous vehicles.
Timeline
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2007–2015
Lund and UCSD degrees
He completes a master's thesis on single-image focus assessment with support vector machines at Lund in 2007 and earns a Ph.D. in computer vision and machine learning from UCSD in 2015 under David Kriegman and Serge Belongie. His M.S. in engineering physics at Lund is under Kalle Åström.
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2014
Cost-sensitive multiclass boosting
In 2014, he coauthors an ICML paper on cost-sensitive multiclass boosting.
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2016–2017
Deep learning for coral reefs
In 2016, he works as a postdoctoral scholar in Trevor Darrell's Berkeley Vision and Learning Center, where his neural-network research helps coral researchers map reefs. In 2017, CoralNet's Beta software uses a deep neural network for reef-image annotation.
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2018–2019
nuScenes for autonomous driving
He coauthors nuScenes, a multimodal autonomous-driving dataset with six cameras, five radars and one lidar providing full 360-degree coverage. Its teaser set is released in September 2018, and the full dataset is released in March 2019 with 1,000 annotated 20-second scenes.
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2020
Director at Motional
In 2020, he is Director of Machine Learning at Motional, where he works on products, research, data curation and the ML platform. Earlier, he leads development at Hovding and creates the algorithmic framework and hardware design for its invisible bicycle helmet.
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2021
CoralNet and nuPlan
In 2021, he coauthors a new CoralNet deep-learning engine with EfficientNet-B0; the team reports 22.4% lower average error than CoralNet Beta on a 43,049-image test set. He also coauthors nuPlan, an ML-based closed-loop planning benchmark for autonomous driving.
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2023
Co-founding Nyckel
In 2023, he is co-founder and CTO of Nyckel, which builds custom machine-learning APIs for non-expert users. Its service trains and evaluates models on uploaded data and returns predictions.
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As of October 2026
Principal Engineer at Zoox
As of October 2026, he is a Principal Engineer at Zoox, where he works across perception, planning and foundational modeling for autonomous vehicles.
Career
- NowZooxPrincipal Engineer
- From 2023NyckelCo-founder, CTO
- From 2020MotionalDirector of Machine Learning
- 2016–2017University of California, BerkeleyPostdoctoral Scholar
Education
- 2015University of California, San DiegoPh.D. in Computer Vision and Machine Learning
- 2007Lund UniversityM.S. in Engineering Physics
Sources and credits
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- CS 201: Data, Detection, and Metrics for Autonomous Vehicles, OSCAR BEIJBOM, Motional
- Oscar Beijbom | Vision
- Software system labels coral reef images in record time
- Research Archives - Page 88 of 91 - EECS at Berkeley
- nuScenes: A multimodal dataset for autonomous driving
- A new deep learning engine for CoralNet
- NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles
- Oscar Beijbom, co-founder and CTO of Nyckel, on the opportunites in the AI/ML tooling market
- Oscar Beijbom


